Journal article
High-performance information search filters for acute kidney injury content in PubMed, Ovid Medline and Embase
Abstract
BACKGROUND: We frequently fail to identify articles relevant to the subject of acute kidney injury (AKI) when searching the large bibliographic databases such as PubMed, Ovid Medline or Embase. To address this issue, we used computer automation to create information search filters to better identify articles relevant to AKI in these databases.
METHODS: We first manually reviewed a sample of 22 992 full-text articles and used prespecified …
Authors
Hildebrand AM; Iansavichus AV; Haynes RB; Wilczynski NL; Mehta RL; Parikh CR; Garg AX
Journal
Nephrology Dialysis Transplantation, Vol. 29, No. 4, pp. 823–832
Publisher
Oxford University Press (OUP)
Publication Date
April 1, 2014
DOI
10.1093/ndt/gft531
ISSN
0931-0509